GenAI in 4+ Hours 🔥 | Complete Beginner’s Guide to LLMs, RAG & LangChain

Want to learn Generative AI from scratch? This 4+ hour beginner-friendly course takes you from the fundamentals of GenAI to building practical applications using LLMs, Prompt Engineering, LangChain, and RAG. No prior GenAI experience is required. We’ll understand the concepts step-by-step and then connect them to real-world AI applications. 📚 What You’ll Learn 🔹 Generative AI Fundamentals What is Generative AI? AI vs ML vs Deep Learning vs GenAI How Generative AI works Real-world GenAI applications 🔹 LLMs – Large Language Models What are LLMs? How LLMs work Tokens and embeddings Transformers & attention — beginner-friendly explanation LLMs vs traditional ML models Popular LLMs and APIs 🔹 Prompt Engineering What is Prompt Engineering? Zero-shot & Few-shot prompting System, user & assistant prompts Role prompting Structured prompts Prompting best practices Practical examples 🔹 LangChain What is LangChain? LangChain architecture Models & prompts Chains Tools Agents Memory Building GenAI applications with LangChain 🔹 RAG – Retrieval Augmented Generation What is RAG? Why do we need RAG? Documents → Chunks → Embeddings → Vector Database → Retrieval → LLM Vector databases Semantic search Building a practical RAG application 🛠️ Technologies Covered Python | LLMs | Prompt Engineering | LangChain | Embeddings | Vector Databases | RAG | Generative AI 🎯 Who Is This Course For? ✅ Beginners entering Generative AI ✅ Python / Data Science learners ✅ ML Engineers & Data Scientists ✅ Students preparing for AI/ML careers ✅ Developers interested in LLM applications ✅ Anyone who wants to understand GenAI practically By the end of this course, you'll have a strong foundation in Generative AI and LLM application development and a clear understanding of how technologies like LangChain and RAG fit into the modern AI ecosystem. 📌 Subscribe to Jeevitha Ramsudha for more content on: AI • Machine Learning • Generative AI • LLMs • RAG • AI Agents • LangChain • Data Science #GenerativeAI #GenAI #LLM #PromptEngineering #LangChain #RAG #ArtificialIntelligence #MachineLearning #AI #DataScience #GenerativeAIForBeginners